Evidence map›Paper›PMID 31600907›Full record

ArticleInternational journal of environmental research and public health2019

Facebook Groups on Chronic Obstructive Pulmonary Disease: Social Media Content Analysis.

Avery Apperson, Michael Stellefson, Samantha R Paige, Beth H Chaney, J Don Chaney, Min Qi Wang, Arjun Mohan

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Trial
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  6. Observational
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  18. Social Media and Health Promotion.International journal of environmental research and public health · 2020
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Avery AppersonDepartment of Health Education and Promotion, East Carolina University, Greenville, NC 27858, USA.
Michael StellefsonDepartment of Health Education and Promotion, East Carolina University, Greenville, NC 27858, USA. stellefsonm17@ecu.edu.ORCID 0000-0003-1717-4114
Samantha R PaigeSTEM Translational Communication Center, University of Florida, Gainesville, FL 679205, USA.
Beth H ChaneyDepartment of Health Education and Promotion, East Carolina University, Greenville, NC 27858, USA.
J Don ChaneyDepartment of Health Education and Promotion, East Carolina University, Greenville, NC 27858, USA.
Min Qi WangDepartment of Behavioral and Community Health, University of Maryland, College Park, MD 20742, USA.
Arjun MohanDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, East Carolina University Brody School of Medicine, Greenville, NC 27858, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Facebook Groups facilitate information exchange and engagement for patients with chronic conditions, including those living with Chronic Obstructive Pulmonary Disease (COPD); however, little is known about how knowledge is diffused throughout these communities. This study aimed to evaluate the content that is available on COPD-related Facebook Groups, as well as the communication (self-disclosures, social support) and engagement (agreement, emotional reaction) strategies used by members to facilitate these resources. Two researchers independently searched the "Groups" category using the terms "COPD", "emphysema", and "chronic bronchitis". Twenty-six closed (

Indexed as

Self-ManagementSocial MediaSocial SupportCommunicationFemaleHumansMalePulmonary Disease, Chronic ObstructiveCOPDFacebookonline communityself-managementsocial mediasocial support

Identifiers

PMID31600907
PMCPMC6843182

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.